Hybrid artificial neural network and statistical model for forecasting project total duration in earned value management
by You Li; Lu Liu
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 10, No. 3/4, 2012

Abstract: The paper proposes a new hybrid approach for forecasting project total durations in earned value management, which combines artificial neural network and random number simulation method to forecast the earned schedule indicator of each period one step further based on several nearest finished periods' status and then employs statistical method to estimate the project total duration and its intervals in each period of the project. Experiment results and test show our hybrid model outperforms the classic method of earned value management in both aspects of interval estimation and point estimation.

Online publication date: Sat, 16-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Networking and Virtual Organisations (IJNVO):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com